Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Tina Felber"'
Publikováno v:
Journal of Statistical Planning and Inference. 180:81-107
The problem of estimating a time-dependent density at each time point t ∈ [ 0 , 1 ] is considered, where independent samples of the density at equidistant time points in [ 0 , 1 ] are given. Here all the samples have the same sample size. It is ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9760ddcd830d9023d3e986a0b610c1e7
https://doi.org/10.1016/j.jspi.2016.08.001
https://doi.org/10.1016/j.jspi.2016.08.001
Publikováno v:
Journal of Nonparametric Statistics. 27:271-285
The problem of estimating density in a simulation model is considered. Given a value of an -valued random input parameter X, the value of a real-valued random variable is computed. Here is a function which measures the quality of a technical system w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63a792e7ad1cad460f5abb4cd1885f8f
https://doi.org/10.1080/10485252.2015.1049601
https://doi.org/10.1080/10485252.2015.1049601
Publikováno v:
IEEE Transactions on Information Theory. 61:3446-3456
In this paper, we study the problem of density estimation from data that contains small measurement errors. The only assumption on these errors is that the maximal measurement error is bounded by some real number converging to zero for sample size te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::904cf83a89bd5ef7f501e47fa58bba44
https://doi.org/10.1109/tit.2015.2421297
https://doi.org/10.1109/tit.2015.2421297
Publikováno v:
Journal of Nonparametric Statistics. 27:1-18
Let X, X1, X2, … be independent and identically distributed ℝd-valued random variables and let m:ℝd→ℝ be a measurable function such that a density f of Y=m(X) exists. The problem of estimating f based on a sample of the distribution of (X,Y
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8d16359eb018fb55cf8787297764615
https://doi.org/10.1080/10485252.2014.969729
https://doi.org/10.1080/10485252.2014.969729
Publikováno v:
Production Engineering. 9:25-34
Fluctuations in semi-finished parts as well as the environmental conditions of a forming process cause uncertainties in the properties of the produced product. Controlling these uncertainties can be realized by using a quality feedback control. Since
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7bb1773cd2f6ee94f26ce40dec5321b
https://doi.org/10.1007/s11740-014-0576-5
https://doi.org/10.1007/s11740-014-0576-5
Publikováno v:
Journal of Statistical Planning and Inference. 143:1689-1707
Given a stationary and ergodic time series the problem of estimating the conditional expectation of the dependent variable at time zero given the infinite past is considered. It is shown that the mean squared error of a combination of suitably define
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6289b0137950d77fce45b5ecd806e5ab
https://doi.org/10.1016/j.jspi.2013.06.002
https://doi.org/10.1016/j.jspi.2013.06.002
Publikováno v:
IEEE Transactions on Information Theory. 59:1917-1928
Let X, X1, X2, ... be independent and identically distributed Rd-valued random variables and let m: Rd → R be a measurable function such that a density f of Y=m(X) exists. Given a sample of the distribution of (X,Y) and additional independent obser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a13134366b4d0501046fbd6bea890205
https://doi.org/10.1109/tit.2012.2230053
https://doi.org/10.1109/tit.2012.2230053
Publikováno v:
Statistics & Probability Letters. 82:173-179
In this paper we study the problem of estimating the density of the error distribution in a random design regression model, where the error is assumed to be independent of the design variable. Our main result is that the L 1 error of the kernel densi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d20b411f37596f229e50366edc5a379
https://doi.org/10.1016/j.spl.2011.09.023
https://doi.org/10.1016/j.spl.2011.09.023
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783319138800
We consider the problem of density estimation using noisy data containing small measurement errors. The only assumption on these errors is that the maximal measurement error is bounded by some real number converging to zero for sample size tending to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd8d190b5a8d3679bbcfae51b6da3254
https://doi.org/10.1007/978-3-319-13881-7_8
https://doi.org/10.1007/978-3-319-13881-7_8
Publikováno v:
ISIT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::556f3fd676ea8e5ef456e852fcc40116
https://doi.org/10.1109/isit.2014.6875119
https://doi.org/10.1109/isit.2014.6875119